Google Data Analytics Certification Review – A Detailed Analysis

Google Career Certificates are an integral part of The Grow with Google program, which draws on Google’s 20-year history of developing products, platforms, and services that support people and businesses in growing. Through initiatives like these, they hope to make it easier for everyone to gain access to the best resources provided by Google to advance their professional development, careers, and enterprises, including the members of the workforce of today and the future as well.  These Google-created certifications are geared toward preparing people from all walks of life for positions where there is a high demand for qualified candidates. Here we will discuss in great detail one such Google Data Analytics Certification course, provided by Google in collaboration with Coursera – the Google Data Analytics Professional Certificate course.

What is a Professional Certificate?

Develop your skills to be job-ready.

Professional Certificates on Coursera will help you get job-ready whether you want to switch careers or start a new one. When and when it’s most convenient for you, learn at your speed. With a 7-day free trial, sign up right away and investigate a new career option. You are always free to interrupt your education or cancel your subscription.

Practical Projects

Build a portfolio that demonstrates your job readiness to potential employers by putting your abilities to use in practical tasks. You must complete the project(s) to receive your certificate.

Gain Professional Credibility

You’ll receive a Certificate for completing the program’s courses, which you can share with your professional network, and you’ll have access to career assistance tools to help you launch your new career. Many recruiting partners for professional certificates accept the professional certificate credential, and other professionals can aid in your exam preparation. Where applicable, specific professional certificate pages will provide extra information.

About this Course

Without prior experience, enroll in Google-designed professional training to get ready for a new job in the rapidly expanding field of data analytics. Data analytics is the process of gathering, transforming, and organizing data to generate deductions, forecasts, and guide well-informed decisions. Learn in-demand skills that can help you land an entry-level job throughout 8 courses. You’ll gain knowledge from Google employees whose careers in data analytics started with solid foundations. You can complete the certificate in less than six months if you work fewer than ten hours each week. You’ll get ready for careers such as database administrator, junior or associate data analyst, and more.

Course Duration: 6 months (approx)

Cost of the Google Data Analytics Certification

One must successfully finish the course to receive the Google Certification in Data Analytics.

• A week of free participation in the Google Data Analytics Certificate course on Coursera is followed by a nominal monthly fee of INR 1,043 that must be paid to complete the course.
• To receive the certificate, all tests, assignments, practical projects, and assessments must be finished.
• Additionally, there is free training for the Google Associate Android Developer Certification accessible.
• One must spend INR 11,182 to apply for the official exam to get Certified.

Objectives of Google Data Analytics Certification:

• Learn firsthand the procedures and methods that a junior or associate data analyst employs daily
• Know how to prepare data for analysis, organize it for analysis, and perform computations using R, SQL, and spreadsheets.
• Acquire essential tools and analytical skills (SQL, spreadsheets, R programming, Tableau)
• Discover how to represent data insights visually in presentations, dashboards, and on popular visualization platforms.

Features of Google Data Analytics Certification:

• Taught by top companies and universities
• Affordable programs
• Apply your skills with hands-on projects
• Learn about your schedule
• Course videos and readings
• Graded quizzes and assignments
• No degree or experience is required for many programs
• Shareable Certificate upon completion

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Eligibility for Google Data Analytics Certification:

There are no prerequisites for the introductory-level course Google Data Analytics Certification.

• The course is open to both professional and entry-level candidates who want to pursue or advance a career in data analytics.
• An examination from at least high school must have been passed to enroll in the course.
• In addition to this, someone who wants to learn about data analytics needs to have a fundamental understanding of math.

Modules of Google Data Analytics Certification :

With the help of more than 180 hours of instruction and hundreds of practice-based tests in the Google data analytics Certification course, you’ll be able to practice the real-world data analytics situations that are essential for professional success. Highly interactive, only Google workers with extensive data analytics knowledge created the content. You will learn about analysis tools and platforms as well as the essential analytical abilities needed for an entry-level position through a combination of videos, exams, and hands-on laboratories. The modules are:

1. Foundations: Data, data everywhere (20 hrs)

In this module, you will acquire the knowledge and abilities required to apply for entry-level data analyst employment through these courses. Data analysts are essential to all kinds of organizations because they can help companies streamline their operations, spot opportunities and trends, introduce new products, and make wise judgments.

Through a practical curriculum created by Google, you will be exposed to the field of data analytics in this course. The information provided covers a wide range of important data analytics subjects and is intended to give you a preview of what to expect from the Google Data Analytics Certificate. You will be instructed and given hands-on experience by current Google data analysts on how to complete typical data analyst duties using the finest tools and resources.

By the time this course is over:

• You will have gained a grasp of the procedures and methods a junior or associate data analyst uses daily.
• Gain knowledge of essential analytical tools (such as SQL, spreadsheets, R programming, and Tableau) and analytical abilities (such as data analysis, cleansing, and visualization).
• Gain knowledge of a wide range of terms and ideas, including the data life cycle and the data analysis process, that are pertinent to the job of a junior data analyst.
• Assess the place of analytics in the ecosystem of data.
• Assess your analytical thinking skills.
• Investigate employment opportunities that will be open to you after program completion, and gain knowledge of effective job-search techniques.

2. Ask Questions to make Data-Driven Decisions (18 hrs)

This is the second module in the Google Data Analytics Certificate program. You will acquire the knowledge and abilities required to apply for entry-level data analyst employment after taking these courses. The topics that were covered in the first Google Data Analytics Certificate course will be expanded upon.

The information will teach you how to develop insightful questions that link to the demands of stakeholders and lead to data-driven decisions. Current Google data analysts will continue to guide you and give you practical examples of how to carry out typical data analyst jobs using the best instruments and resources. After completing this certificate program, students will be prepared to apply for entry-level positions as data analysts. No prior knowledge is required.

By the end of the course, you will have learned: 

• How to guide analysis with effective questioning tactics.
• Acquire knowledge of how data analysts present findings and decision-making that is driven by data.
• Examine several actual business situations to help you understand how to ask questions and make decisions.
• Understand the value of spreadsheets as a tool for data analysts.
• Consider the key concepts of organized thinking and how they might aid analysts in comprehending issues and coming up with solutions.
• Acquire tactics for controlling stakeholder expectations while building open lines of communication with a data analytics team to meet corporate objectives.

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3. Prepare Data for Exploration (22 hrs)

This is the third module in the Google Data Analytics Certificate program. You will acquire the knowledge and abilities required to apply for entry-level data analyst employment after taking these courses. You’ll be introduced to new topics as you advance your grasp of the subjects from the first two courses and develop practical data analytics abilities.

You’ll discover how to manage and safeguard your data while using tools like spreadsheets and SQL to extract and use the appropriate data for your goals. Current Google data analysts will continue to guide you and give you practical examples of how to carry out typical data analyst jobs using the best instruments and resources. After completing this certificate program, students will be prepared to apply for entry-level positions as data analysts. No prior knowledge is required.

You will learn:

• How analysts choose which data to gather for analysis by the end of this course.
• Gain knowledge of data kinds, data formats, and organized and unstructured data.
• Learn how to spot various biases in data to help assure data credibility.
• Examine how analysts use databases and data sets with spreadsheets and SQL.
• Consider the relationship between and significance of data ethics and data privacy, as well as open data.
• Learn how to access databases and use them to extract, filter, and organize data.
• Gain knowledge of secure data organization techniques.

4. Process Data from Dirty to Clean (22 hrs)

In this module, you will acquire the knowledge and abilities required to apply for entry-level data analyst employment after taking these courses. You’ll continue to deepen your grasp of data analytics in this course as well as the theories and resources employed by data analysts.

You’ll learn how to validate and report your data cleaning outcomes as well as how to inspect and clean your data using spreadsheets and SQL. Current Google data analysts will continue to guide you and give you practical examples of how to carry out typical data analyst jobs using the best instruments and resources. After completing this certificate program, students will be prepared to apply for entry-level positions as data analysts. No prior knowledge is required.

You will be able to do the following when you complete this course:

• Acquire the ability to verify data integrity.
• Acquire spreadsheet-based data cleansing procedures.
• Create simple SQL queries to use with databases.
• Use fundamental SQL functions to change and tidy up data.
• Acquire knowledge about how to validate the outcomes of data cleansing.
• Examine the components and significance of reports on data cleaning.

5. Analyze Data to Answer Questions (26 hrs)

The fifth lesson in the Google Data Analytics Certificate program is this one. You will acquire the knowledge and abilities required to apply for entry-level data analyst employment after taking these courses. You will learn about the “analyze” step of the data analysis process in this course.

To make sense of the data you’ve gathered, you’ll use everything you’ve learned up until this point in your analysis. To help you see and analyze your data in a variety of ways, you’ll learn how to organize and prepare it using spreadsheets and SQL. Additionally, you’ll learn how to use your data for intricate calculations that will help you achieve your business goals.

As you perform your analysis, you’ll gain knowledge on how to apply formulae, functions, and SQL queries. Current Google data analysts will continue to guide you and give you practical examples of how to carry out typical data analyst jobs using the best instruments and resources.

After completing this certificate program, students will be prepared to apply for entry-level positions as data analysts. No prior knowledge is required.

• You will learn how to organize data for analysis by the end of this course:
• Recognize the procedures for altering and formatting data.
• Acquire knowledge of SQL and spreadsheet data aggregation techniques.
• Use spreadsheet formulae and functions to calculate data.
• Acquire knowledge on how to perform calculations with SQL queries.

6. Share Data through the Art of Visualization (24 hrs)

This is the sixth module in the Google Data Analytics Certification program. You will acquire the knowledge and abilities required to apply for entry-level data analyst employment after taking these courses. As you complete the data analysis process, you’ll gain knowledge of how to visualize and present your data findings.

You will learn in this course how data visualizations, such as visual dashboards, may help you make your data more engaging. Additionally, you’ll learn about Tableau, a platform for data visualization that can assist you in producing compelling graphics for your presentations. Current Google data analysts will continue to guide you and give you practical examples of how to carry out typical data analyst jobs using the best instruments and resources. After completing this certificate program, students will be prepared to apply for entry-level positions as data analysts

You will have: 

• Examined the significance of data visualization by the end of this course.
• Discover how to use data tables to create a compelling narrative.
• Acquire knowledge of the creation of dashboards and dashboard filters using Tableau.
• Acquire knowledge of how to utilize Tableau to produce powerful graphics.
• Examine the guidelines and procedures for giving effective presentations.
• Develop the ability to take into account any potential restrictions related to the data in your presentations.
• Recognize how to use excellent practices when conducting a Q&A with your audience.

7. Data Analysis with R Programming (37 hrs)

This is the seventh module in the Google Data Analytics Certification course. You will acquire the knowledge and abilities required to apply for entry-level data analyst employment after taking these courses. You will study R, a programming language, in this course.

You’ll learn how to operate with R in the environment provided by RStudio. The software tools and programs that are exclusive to R, including R packages, will also be covered in this course. You’ll learn how R enables you to more effectively clean, organize, analyze, visualize, and report data. The latest Google data analysts will continue to guide you and give you practical examples of how to carry out typical data analyst jobs using the best instruments and resources.

You will have: 

• Examined the advantages of utilizing the R programming language by the end of this course.
• Learn how to apply R to your analysis using RStudio.
• Examine the foundational ideas related to R programming.
• Examine the Tidyverse package’s contents and parts as well as those of other R packages. Acquire knowledge of data frames and R’s use of them.
• Learn about R’s choices for producing visualizations.
• Acquire R Markdown skills for writing R programming documentation.

8. Google Data Analytics Capstone (8 hrs)

This is the eighth module in the Google Data Analytics Certification course. You will get the chance to finish an optional case study, which will help you get ready for the job search for data analytics. Employers frequently utilize case studies to evaluate analytic abilities.

You will select an analytics-based situation for your case study. Following that, you’ll prepare, process, visualize, analyze, and take action using the scenario’s data. Through videos that feature typical interview questions and solutions, handy resources for creating an online portfolio, and other resources, you may also acquire other practical job search techniques. Current Google data analysts will continue to guide you and give you practical examples of how to carry out typical data analyst jobs using the best instruments and resources.

After completing this certificate program, students will be prepared to apply for entry-level positions as data analysts. No prior knowledge is required.

You will have:

• learned the advantages and applications of case studies and portfolios in the job hunt at the end of this course.
• Examine typical interview questions and real-world job interview situations.
• Learn how case studies might be used in the hiring process.
• Examine and take into account various case study circumstances.
• Possibility of finishing your case study for your portfolio.

Skills you learn:

• Spreadsheet
• Data Cleansing
• Data Analysis
• Data Visualisation
• SQL
• Questioning
• Decision Making
• Problem Solving 
• Meta Data
• Data Collection
• Data Ethics
• Sample Size Determination

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FAQs

1. Is the entire Google Data Analytics certification course offered online? Do I have to physically attend any classes?

There is no need to physically attend a classroom because this course may be completed entirely online. You can access your lectures, readings, and assignments online or on a mobile device at any time and from any location.

2. What kind of companies employ experts in data analytics?

Data analysts are needed by businesses of all sizes in a variety of sectors, including tech, finance, healthcare, and entertainment, to help them streamline their operations and introduce new products.

3. What prior knowledge is required?

None! A Google Career Certificate is the ideal course for you, regardless of your level of experience in the workforce.

4. What types of jobs does this Google data Analytics Certification course prepare you for?

A job in data analytics gives you the chance to specialize; this simply means that you’ll be focused on in-depth information for a certain industry and that problem-solving for that industry will be your day-to-day focus. Junior Data Scientist, Finance Analyst, HR/Payroll Analyst, Operations Analyst, Healthcare Analyst, Business Intelligence Analyst and many others are examples of common titles.

5. What is the average salary of a Data Analyst in India?

An entry-level data analyst in India makes an average base income of INR 3,54,000 annually. One can earn up to INR 15,00,000 per year in late careers with rising expertise.

Conclusion on Google Data Analytics Certification

The variety of opportunities available to data analysts is one of the most interesting aspects of their job. Every business may gather data, and the volume of data is continually increasing. This has increased the need for workers who can arrange and examine data to glean insights. Data analysis positions are difficult to fill in organizations, and the need for these positions will only grow. The goal of Google Data Analytics Certification is to get you ready for an entry-level position in a sector like data analytics, IT assistance, project management, or UX design, whether you work locally or remotely, at a small business or a big corporation.